International and Comparative Law Cluster Seminar - Law, AI and Non-Fascist Living

Abstract

Drawing on Dan McQuillans’s work in Resisting AI: An Anti-Fascist Approach to Artificial Intelligence, and through a transdisciplinary conversation on law, politics, and computational science, the talk makes inquires into the relations between new digital technologies, law, and fascism - how concrete operations of, among other digital technologies, AI and machine learning, resonate with the powers and processes of law, rendering authoritarian and fascist affinities ever more opaque yet exceedingly materially tangible in the posthuman condition. Looking for both problems and possibilities I ask: What can fascism do in the 21st century, where does analysis begin, and how to make non-fascist modes of resistance, alliance, and community-building sense-able, thinkable, and do-able? Is there a mode of non-fascist living with new digital technologies and law? If so, what is needed in (or instead of) global law and governance for such a life to become realized?

About Dr Matilda Arvidsson

Dr Arvidsson is an Associate Professor (docent) in international law, and an assistant senior lecturer in jurisprudence. Her research interests are interdisciplinary and include AI and law, legal theory, legal history, international law, posthumanism and technology, feminism and ethnography, as well as the embodiment of law in its various forms and in inter-species relations. Her publications address themes such as the interaction between humans, the environment and swarming drones; the place of gardens and gardening in colonial legal history and in international law; and how psychoanalytic theory and method can be productive for PhD supervision pedagogy. She researches and gives talks on #MeToo in academia. She is an associate editor of Frontiers in Artificial Intelligence: Law & Technology, and the editor of the forthcoming Routledge Handbook on AI, Law and Society (2025)

The seminar will take place at the Kingston Braybrook Moot Court and will also be available to view online via zoom:

https://latrobe.zoom.us/j/87945643329?pwd=T3NwOGd5b0xNZ3dxbFpHQ1dlR0dudz09 (passcode 029639)